Representing Dynamic Spatial Processes Using Voronoi Diagrams: Recent Developements. - Mir Abolfazl Mostafavi; Leila Hashemi Beni; Karine Hins-Mallet (ISVD, 2009)

Geosimulation of Geographic Dynamics Based on Voronoi Diagram. - Mir Abolfazl Mostafavi; Leila Hashemi Beni; Karine Hins-Mallet (Trans. Comput. Sci., 2010)

Toward 3D spatial dynamic field simulation within GIS using kinetic Voronoi diagram and Delaunay tetrahedralization. - Leila Hashemi Beni; Mir Abolfazl Mostafavi; Jacynthe Pouliot; Marina L. Gavrilova (Int. J. Geogr. Inf. Sci., 2011)

A Robust Lane Marking Extraction Algorithm for Self-Driving Vehicles. - Tesfamichael Getahun; Ali Karimoddini; Leila Hashemi Beni; Priyantha Mudalige (ICARCV, 2018)

Challenges and Opportunities for UAV-Based Digital Elevation Model Generation for Flood-Risk Management: A Case of Princeville, North Carolina. - Leila Hashemi Beni; Jeffery Jones; Gary Thompson; Curt Johnson; Asmamaw Gebrehiwot (Sensors, 2018)

Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data. - Asmamaw Gebrehiwot; Leila Hashemi Beni; Gary Thompson; Parisa Kordjamshidi; Thomas E. Langan (Sensors, 2019)

Automated Indunation Mapping: Comparison of Methods. - Asmamaw Gebrehiwot; Leila Hashemi Beni (IGARSS, 2020)

Three-Dimensional Inundation Mapping Using UAV Image Segmentation and Digital Surface Model. - Asmamaw Gebrehiwot; Leila Hashemi Beni (ISPRS Int. J. Geo Inf., 2021)

Combining Multiple Geospatial Data for Estimating Aboveground Biomass in North Carolina Forests. - Leila Hashemi Beni; Lyubov A. Kurkalova; Timothy J. Mulrooney; Chinazor S. Azubike (Remote. Sens., 2021)

Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data. - Leila Hashemi Beni; Asmamaw Gebrehiwot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Inundated Vegetation Mapping Using SAR Data: A Comparison of Polarization Configurations of UAVSAR L-Band and Sentinel C-Band. - Abdella Salem; Leila Hashemi Beni (Remote. Sens., 2022)

Geospatial Intelligence for Individual Crop Detection and Anomaly Monitoring. - Freda Elikem Dorbu; Leila Hashemi Beni (IGARSS, 2023)

Geospatial Insights: Unraveling Howard Landslide Suspectibility. - Gazali Oluwasegun Agboola; Leila Hashemi Beni (IGARSS, 2024)

Flood Resilience Through Advanced Wetland Prediction. - Matilda Anokye; Mulham Fawakherji; Leila Hashemi Beni (IGARSS, 2024)

Flood Impact Risk Mapping in Settlement Areas from a 3D Perspective: A Case Study of Hurricane Matthew. - Jeffrey Blay; Mulham Fawakherji; Leila Hashemi Beni (IGARSS, 2024)

Multi-Head Encoder-Decoder Deep Learning Architecture for Flood Segmentation and Mapping Through Multi-Sensor Data Fusion. - Mulham Fawakherji; Leila Hashemi Beni (IGARSS, 2024)

An Integrated Framework of GPT-4 and PINN for Dynamic Traffic Estimation and Support. - Tewodros Syum Gebre; Leila Hashemi Beni (IGARSS, 2024)

AI-Integrated Traffic Information System: A Synergistic Approach of Physics Informed Neural Network and GPT-4 for Traffic Estimation and Real-Time Assistance. - Tewodros Syum Gebre; Leila Hashemi Beni; Eden Tsehaye Wasehun; Freda Elikem Dorbu (IEEE Access, 2024)

Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery. - Ali Jamali; Swalpa Kumar Roy; Leila Hashemi Beni; Biswajeet Pradhan; Jonathan Li 001; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Optimizing landslide susceptibility mapping using machine learning and geospatial techniques. - Gazali Oluwasegun Agboola; Leila Hashemi Beni; Tamer M. Elbayoumi; Gary Thompson (Ecol. Informatics, 2024)

Detection of Individual Corn Crop and Canopy Delineation from Unmanned Aerial Vehicle Imagery. - Freda Elikem Dorbu; Leila Hashemi Beni (Remote. Sens., 2024)

Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images. - Tewodros Syum Gebre; Eden Tsehaye Wasehun; Freda Elikem Dorbu; Gazali Oluwasegun Agboola; Ali Karimoddini; Leila Hashemi Beni (IEEE Access, 2025)

Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models. - Eden Tsehaye Wasehun; Leila Hashemi Beni; Courtney A. Di Vittorio; Christopher M. Zarzar; Kyana R. L. Young (Ecol. Informatics, 2025)

MSHCCT: A Multiscale Compact Convolutional Network for High-Resolution Aerial Scene Classification. - Ali Jamali; Swalpa Kumar Roy; Bing Lu; Leila Hashemi Beni; Nafiseh Kakhani; Pedram Ghamisi (IEEE Geosci. Remote. Sens. Lett., 2025)